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A modelled 5-metre street-level air-quality surface for 300+ cities, plus the sparse-input/fine-output pair that trains it: real-time eLos station measurements (NO2, O3, CO, CO2, PM1/PM2.5/PM10, temperature, humidity, pressure and an onboard microphone) fused with regulatory reference-station data, topography, traffic and meteorology into hourly and 24-hour-forecast grids. The licensable byproducts are (a) the station-versus-reference-station fusion pairs, which are ready-made supervised training data for hyperlocal downscaling and land-use-regression models; (b) forecast-versus-observed residual pairs at 5 m resolution and 24-hour horizon — scoring data for any urban dispersion model; (c) a cross-jurisdiction AQI harmonisation layer, the same grid scored against three baselines (proprietary eLichens index, US EPA, EU Citeair), effectively a mapping table between regulatory regimes; (d) urban acoustic/noise readings from the eLos microphone, a byproduct no air-quality peer advertises; (e) a European pollen index; and (f) street-level CO2, which regulatory networks almost never measure at that density.
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